Youtube
Synthadoc: An open-source LLM knowledge compilation engine that turns raw documents into structured, local-first wikis. A transparent, human-readable alternative to traditional RAG, which can be self-managed and self-improved without the use of any tools.
npx -y skills add axoviq-ai/synthadoc --skill youtubeAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
Extract transcripts from YouTube videos via the YouTube caption system
The file declares its own license as AGPL-3.0-or-later. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
2.5 KB, as published. Nobody here has run it
YouTube Skill
Extracts the transcript (captions) from a YouTube video using the YouTube caption system — no API key or audio download required. Optionally uses a vision-capable LLM to produce a structured summary (Overview, Topics, Key takeaways) before the raw transcript.
Setup
pip install youtube-transcript-api
Standalone usage
Transcript only (no LLM required):
import asyncio
from synthadoc.skills.youtube.scripts.main import YoutubeSkill
skill = YoutubeSkill() # no provider — returns raw timestamped transcript
async def main():
result = await skill.extract("https://www.youtube.com/watch?v=dQw4w9WgXcQ")
print(result.text) # "[0:00] text [0:04] text ..."
print(result.metadata) # {"video_id": "...", "title": "...", "url": "..."}
asyncio.run(main())
With LLM summarization (pass any provider that implements complete()):
skill = YoutubeSkill(provider=my_provider)
result = await skill.extract(url)
# result.text contains:
# ## Executive Summary
# <Overview / Topics / Key takeaways>
#
# ## Transcript
# [0:00] ...
The provider must implement:
async def complete(messages, system=None, temperature=0.0, max_tokens=4096)
-> object with .text (str), .input_tokens (int), .output_tokens (int)
Message (used to build the messages list) is importable from
synthadoc.skills.base:
from synthadoc.skills.base import Message
When this skill is used
- Source starts with
https://www.youtube.com/,https://youtu.be/, orhttps://www.youtubekids.com/
To search YouTube by topic instead of ingesting a specific URL, use the web search skill — it filters Tavily results to YouTube domains automatically:
synthadoc ingest "youtube Moore's Law"
synthadoc ingest "youtube kids: Sesame Street"
synthadoc ingest "search for youtube: history of computing"
Limitations
- Only works for videos that have captions (auto-generated or manually added). If no captions are available the source is skipped with a warning.
- Private or deleted videos are skipped gracefully.